{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T05:25:26Z","timestamp":1777526726066,"version":"3.51.4"},"reference-count":50,"publisher":"ASME International","issue":"1","license":[{"start":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T00:00:00Z","timestamp":1662076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.asme.org\/publications-submissions\/publishing-information\/legal-policies"}],"funder":[{"DOI":"10.13039\/100000089","name":"Office of International Science and Engineering","doi-asserted-by":"publisher","award":["2119334"],"award-info":[{"award-number":["2119334"]}],"id":[{"id":"10.13039\/100000089","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["asmedigitalcollection.asme.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The recent COVID-19 pandemic reveals the vulnerability of global supply chains: the unforeseen supply crunches and unpredictable variability in customer demands lead to catastrophic disruption to production planning and management, causing wild swings in productivity for most manufacturing systems. Therefore, a smart and resilient manufacturing system (S&amp;RMS) is promised to withstand such unexpected perturbations and adjust promptly to mitigate their impacts on the system\u2019s stability. However, modeling the system\u2019s resilience to the impacts of disruptive events has not been fully addressed. We investigate a generalized polynomial chaos (gPC) expansion-based discrete-event dynamic system (DEDS) model to capture uncertainties and irregularly disruptive events for manufacturing systems. The analytic approach allows a real-time optimization for production planning to mitigate the impacts of intermittent disruptive events (e.g., supply shortages) and enhance the system\u2019s resilience. The case study on a hybrid bearing manufacturing workshop suggests that the proposed approach allows a timely intervention in production planning to significantly reduce the downtime (around one-fifth of the downtime compared to the one without controls) while guaranteeing maximum productivity under the system perturbations and uncertainties.<\/jats:p>","DOI":"10.1115\/1.4055425","type":"journal-article","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T09:50:26Z","timestamp":1662112226000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":11,"title":["Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties"],"prefix":"10.1115","volume":"23","author":[{"given":"Qiyang","family":"Ma","sequence":"first","affiliation":[{"name":"State University of New York Department of Systems Science and Industrial Engineering, , Binghamton, NY 13902"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiming","family":"Che","sequence":"additional","affiliation":[{"name":"State University of New York Department of Systems Science and Industrial Engineering, , Binghamton, NY 13902"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changqing","family":"Cheng","sequence":"additional","affiliation":[{"name":"State University of New York Department of Systems Science and Industrial Engineering, , Binghamton, NY 13902"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zimo","family":"Wang","sequence":"additional","affiliation":[{"name":"State University of New York Department of Systems Science and Industrial Engineering, , Binghamton, NY 13902"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"33","published-online":{"date-parts":[[2022,9,27]]},"reference":[{"issue":"2","key":"2023092719110664000_CIT0001","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1108\/IJPDLM-04-2020-0127","article-title":"A Production Recovery Plan in Manufacturing Supply Chains for a High-Demand Item During COVID-19","volume":"51","author":"Paul","year":"2020","journal-title":"Int. J. Phys. Distrib. Logist. Manage."},{"key":"2023092719110664000_CIT0002","article-title":"BCI Supply Chain Resilience Report 2019","author":"BCI","year":"2019"},{"key":"2023092719110664000_CIT0003","doi-asserted-by":"publisher","first-page":"100300","DOI":"10.1016\/j.mtchem.2020.100300","article-title":"Resilient and Agile Engineering Solutions to Address Societal Challenges Such as Coronavirus Pandemic","volume":"17","author":"Goel","year":"2020","journal-title":"Mater. Today Chem."},{"issue":"2","key":"2023092719110664000_CIT0004","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1049\/iet-cim.2020.0041","article-title":"Address Business Crisis Caused by COVID-19 With Collaborative Intelligent Manufacturing Technologies","volume":"2","author":"Shen","year":"2020","journal-title":"IET Collob. Intell. Manuf."},{"key":"2023092719110664000_CIT0005","doi-asserted-by":"publisher","first-page":"120447","DOI":"10.1016\/j.techfore.2020.120447","article-title":"Manufacturing and Service Supply Chain Resilience to the COVID-19 Outbreak: Lessons Learned From the Automobile and Airline Industries","volume":"163","author":"Belhadi","year":"2021","journal-title":"Technol. Forecast. Soc. Change"},{"issue":"2","key":"2023092719110664000_CIT0006","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.cirp.2011.03.041","article-title":"Toward a Resilient Manufacturing System","volume":"60","author":"Zhang","year":"2011","journal-title":"CIRP Ann."},{"issue":"2","key":"2023092719110664000_CIT0007","doi-asserted-by":"publisher","first-page":"49","DOI":"10.3390\/jmmp4020049","article-title":"Distributed Manufacturing of Open Source Medical Hardware for Pandemics","volume":"4","author":"Pearce","year":"2020","journal-title":"J. Manuf. Mater. Process."},{"key":"2023092719110664000_CIT0008","doi-asserted-by":"publisher","first-page":"108749","DOI":"10.1016\/j.matdes.2020.108749","article-title":"Exploration of Alternative Supply Chains and Distributed Manufacturing in Response to COVID-19: A Case Study of Medical Face Shields","volume":"192","author":"Shokrani","year":"2020","journal-title":"Mater. Des."},{"key":"2023092719110664000_CIT0009","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.susoc.2020.06.001","article-title":"COVID-19 Impact on Sustainable Production and Operations Management","volume":"1","author":"Kumar","year":"2020","journal-title":"Sustainable Oper. Comput."},{"issue":"3","key":"2023092719110664000_CIT0010","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1109\/EMR.2020.3012112","article-title":"Manufacturing in the Time of COVID-19: An Assessment of Barriers and Enablers","volume":"48","author":"Okorie","year":"2020","journal-title":"IEEE Eng. Manage. Rev."},{"key":"2023092719110664000_CIT0011","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.procir.2015.02.075","article-title":"Manufacturing System Design for Resilience","volume":"36","author":"Gu","year":"2015","journal-title":"Procedia CIRP"},{"key":"2023092719110664000_CIT0012","article-title":"Towards Modeling of Resilience Dynamics in Manufacturing Enterprises: Literature Review and Problem Formulation","author":"Hu","year":"2008"},{"key":"2023092719110664000_CIT0013","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.cie.2019.02.022","article-title":"Resilience Modeling of Engineering Systems Using Dynamic Object-Oriented Bayesian Network Approach","volume":"130","author":"Abimbola","year":"2019","journal-title":"Comput. Ind. Eng."},{"issue":"2","key":"2023092719110664000_CIT0014","doi-asserted-by":"publisher","first-page":"021016","DOI":"10.1115\/1.4005789","article-title":"The Costs of Downtime Incidents in Serial Multistage Manufacturing Systems","volume":"134","author":"Liu","year":"2012","journal-title":"ASME J. Manuf. Sci. Eng."},{"issue":"1","key":"2023092719110664000_CIT0015","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.cirp.2019.04.104","article-title":"Machine Learning and AI for Long-Term Fault Prognosis in Complex Manufacturing Systems","volume":"68","author":"Bukkapatnam","year":"2019","journal-title":"CIRP Ann."},{"key":"2023092719110664000_CIT0016","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.jmsy.2018.05.008","article-title":"A Cloud-Based Cyber-Physical System for Adaptive Shop-Floor Scheduling and Condition-Based Maintenance","volume":"47","author":"Mourtzis","year":"2018","journal-title":"J. Manuf. Syst."},{"issue":"5","key":"2023092719110664000_CIT0017","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1080\/0951192X.2012.719085","article-title":"Continuous Flow Modelling of Multistage Assembly Line System Dynamics","volume":"26","author":"Yang","year":"2013","journal-title":"Int. J. Comput. Integr. Manuf."},{"issue":"2","key":"2023092719110664000_CIT0018","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1080\/17509653.2013.869040","article-title":"Resilient Supplier Selection Under a Fuzzy Environment","volume":"9","author":"Haldar","year":"2014","journal-title":"Int. J. Manag. Sci. Eng. Manage."},{"issue":"1","key":"2023092719110664000_CIT0019","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/j.2158-1592.2010.tb00125.x","article-title":"Ensuring Supply Chain Resilience: Development of a Conceptual Framework","volume":"31","author":"Pettit","year":"2010","journal-title":"J. Bus. Logist."},{"issue":"1","key":"2023092719110664000_CIT0020","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1016\/j.cirp.2014.03.123","article-title":"Change Detection in Precision Manufacturing Processes Under Transient Conditions","volume":"63","author":"Wang","year":"2014","journal-title":"CIRP Ann."},{"issue":"10","key":"2023092719110664000_CIT0021","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1080\/0740817X.2014.999180","article-title":"Time Series Forecasting for Nonlinear and Non-Stationary Processes: A Review and Comparative Study","volume":"47","author":"Cheng","year":"2015","journal-title":"IIE Trans."},{"issue":"3","key":"2023092719110664000_CIT0022","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1080\/00401706.2017.1371079","article-title":"A Dirichlet Process Gaussian State Machine Model for Change Detection in Transient Processes","volume":"60","author":"Wang","year":"2018","journal-title":"Technometrics"},{"issue":"17","key":"2023092719110664000_CIT0023","doi-asserted-by":"publisher","first-page":"2376","DOI":"10.1063\/1.126351","article-title":"Experimental and Theoretical Scaling Laws for Transverse Diffusive Broadening in Two-Phase Laminar Flows in Microchannels","volume":"76","author":"Ismagilov","year":"2000","journal-title":"Appl. Phys. Lett."},{"issue":"3","key":"2023092719110664000_CIT0024","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1016\/j.ejor.2020.05.033","article-title":"The Impact of Controllable Production Rates on the Performance of Inventory Systems: A Systematic Review of the Literature","volume":"288","author":"Glock","year":"2021","journal-title":"Eur. J. Oper. Res."},{"issue":"3","key":"2023092719110664000_CIT0025","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1016\/j.ejor.2004.07.012","article-title":"A New Bounding Mechanism for the CNC Machine Scheduling Problems With Controllable Processing Times","volume":"167","author":"Kayan","year":"2005","journal-title":"Eur. J. Oper. Res."},{"issue":"9\u201312","key":"2023092719110664000_CIT0026","doi-asserted-by":"publisher","first-page":"2127","DOI":"10.1007\/s00170-012-4635-9","article-title":"Controllable Processing Time Policies for Job Shop Manufacturing System","volume":"67","author":"Renna","year":"2013","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"2023092719110664000_CIT0027","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.ijpe.2017.12.025","article-title":"Single Machine Scheduling With Controllable Processing Times and an Unavailability Period to Minimize the Makespan","volume":"198","author":"Shabtay","year":"2018","journal-title":"Int. J. Prod. Econ."},{"issue":"3","key":"2023092719110664000_CIT0028","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1109\/TASE.2007.912716","article-title":"Schedulability Analysis of Time-Constrained Cluster Tools With Bounded Time Variation by an Extended Petri Net","volume":"5","author":"Kim","year":"2008","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"1","key":"2023092719110664000_CIT0029","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1109\/tase.2011.2160452","article-title":"Schedulability Analysis and Optimal Scheduling of Dual-Arm Cluster Tools With Residency Time Constraint and Activity Time Variation","volume":"9","author":"Wu","year":"2011","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"2","key":"2023092719110664000_CIT0030","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1109\/TASE.2011.2178023","article-title":"Modeling, Analysis and Control of Dual-Arm Cluster Tools With Residency Time Constraint and Activity Time Variation Based on Petri Nets","volume":"9","author":"Wu","year":"2012","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"2","key":"2023092719110664000_CIT0031","doi-asserted-by":"publisher","first-page":"324","DOI":"10.18178\/ijmerr.7.3.324-330","article-title":"Intelligent Manufacturing Systems: A Review","volume":"7","author":"Liang","year":"2016","journal-title":"Int. J. Mech. Eng. Robot. Res."},{"key":"2023092719110664000_CIT0032","doi-asserted-by":"publisher","first-page":"118317","DOI":"10.1016\/j.jclepro.2019.118317","article-title":"An Integrated Hybrid Approach for Circular Supplier Selection and Closed Loop Supply Chain Network Design Under Uncertainty","volume":"242","author":"Govindan","year":"2020","journal-title":"J. Clean. Prod."},{"issue":"2","key":"2023092719110664000_CIT0033","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/0030-4018(78)90322-X","article-title":"Effects of Rate Variation on the Counting Statistics of Dead-Time-Modified Poisson Processes","volume":"25","author":"Vannucci","year":"1978","journal-title":"Opt. Commun."},{"issue":"1","key":"2023092719110664000_CIT0034","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/S0166-3615(01)00081-1","article-title":"A Simulation Based Analysis of Cycle Time Distribution, and Throughput in Semiconductor Backend Manufacturing","volume":"45","author":"Sivakumar","year":"2001","journal-title":"Comput. Ind."},{"key":"2023092719110664000_CIT0035","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1017\/CBO9780511754661","volume-title":"Quantization Noise","author":"Widrow","year":"2008"},{"issue":"23","key":"2023092719110664000_CIT0036","doi-asserted-by":"publisher","first-page":"6863","DOI":"10.1080\/00207543.2014.910621","article-title":"Takt Time Grouping: Implementing Kanban-Flow Manufacturing in an Unbalanced, High Variation Cycle-Time Process With Moving Constraints","volume":"52","author":"Millstein","year":"2014","journal-title":"Int. J. Prod. Res."},{"key":"2023092719110664000_CIT0037","first-page":"346","volume-title":"Computational Science","author":"Xiu","year":"2003"},{"key":"2023092719110664000_CIT0038","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.chaos.2018.08.024","article-title":"Uncertainty Quantification in Stability Analysis of Chaotic Systems With Discrete Delays","volume":"116","author":"Che","year":"2018","journal-title":"Chaos Solit. Fractals"},{"issue":"43","key":"2023092719110664000_CIT0039","doi-asserted-by":"publisher","first-page":"4927","DOI":"10.1016\/S0045-7825(02)00421-8","article-title":"Modeling Uncertainty in Steady State Diffusion Problems Via Generalized Polynomial Chaos","volume":"191","author":"Xiu","year":"2002","journal-title":"Comput. Methods Appl. Mech. Eng."},{"issue":"2","key":"2023092719110664000_CIT0040","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1137\/S1064827501387826","article-title":"The Wiener\u2013Askey Polynomial Chaos for Stochastic Differential Equations","volume":"24","author":"Xiu","year":"2002","journal-title":"SIAM J. Sci. Comput."},{"issue":"1","key":"2023092719110664000_CIT0041","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/S0021-9991(03)00092-5","article-title":"Modeling Uncertainty in Flow Simulations via Generalized Polynomial Chaos","volume":"187","author":"Xiu","year":"2003","journal-title":"J. Comput. Phys."},{"issue":"5","key":"2023092719110664000_CIT0042","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1080\/24725854.2018.1426134","article-title":"The Influence of Spare Parts Provisioning on Buffer Size in a Production System","volume":"50","author":"Kiesm\u00fcller","year":"2018","journal-title":"IISE Trans."},{"key":"2023092719110664000_CIT0043","doi-asserted-by":"publisher","first-page":"60823","DOI":"10.1109\/ACCESS.2022.3179982","article-title":"Open Process Automation-and Digital Twin-Based Performance Monitoring of a Process Manufacturing System","volume":"10","author":"Qamsane","year":"2022","journal-title":"IEEE Access"},{"issue":"5","key":"2023092719110664000_CIT0044","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1007\/s00170-012-4061-z","article-title":"Scheduling Optimization of Flexible Manufacturing System Using Cuckoo Search-Based Approach","volume":"64","author":"Burnwal","year":"2013","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"1","key":"2023092719110664000_CIT0045","doi-asserted-by":"publisher","first-page":"1335444","DOI":"10.1080\/23311916.2017.1335444","article-title":"Optimization of Machine Downtime in the Plastic Manufacturing","volume":"4","author":"Nwanya","year":"2017","journal-title":"Cogent Eng."},{"issue":"2","key":"2023092719110664000_CIT0046","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/j.ejor.2021.03.034","article-title":"Single-Machine Scheduling With Machine Unavailability Periods and Resource Dependent Processing Times","volume":"296","author":"Shabtay","year":"2021","journal-title":"Eur. J. Oper. Res."},{"issue":"5","key":"2023092719110664000_CIT0047","first-page":"170","article-title":"A View of Algorithms for Optimization Without Derivatives","volume":"43","author":"Powell","year":"2007","journal-title":"Math. Today-Bull. Inst. Math. Appl."},{"key":"2023092719110664000_CIT0048","first-page":"33","author":"Matloff"},{"issue":"3","key":"2023092719110664000_CIT0049","doi-asserted-by":"publisher","first-page":"1126","DOI":"10.1016\/j.ejor.2022.03.019","article-title":"Timing Intermittent Demand With Time-Varying Order-Up-to Levels","volume":"303","author":"Prak","year":"2022","journal-title":"Eur. J. Oper. Res."},{"issue":"1","key":"2023092719110664000_CIT0050","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1063\/1.3295638","article-title":"Introduction to Monte Carlo Simulation","volume":"1204","author":"Harrison","year":"2010","journal-title":"AIP Conf. Proc."}],"container-title":["Journal of Computing and Information Science in Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article-pdf\/23\/1\/011007\/6920949\/jcise_23_1_011007.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article-pdf\/23\/1\/011007\/6920949\/jcise_23_1_011007.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T19:12:30Z","timestamp":1695841950000},"score":1,"resource":{"primary":{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article\/23\/1\/011007\/1145937\/Characterizations-and-Optimization-for-Resilient"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,27]]},"references-count":50,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,2,1]]}},"URL":"https:\/\/doi.org\/10.1115\/1.4055425","relation":{},"ISSN":["1530-9827","1944-7078"],"issn-type":[{"value":"1530-9827","type":"print"},{"value":"1944-7078","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,27]]},"article-number":"011007"}}